Information processing device, information processing method, and program

ABSTRACT

[Object] To provide an information processing device, an information processing method, and a program that can give a user a stronger impression that a real world is enhanced by using an AR technique. 
     [Solution] The information processing device includes a recognition unit configured to recognize an object included in a real space so as to distinguish the object from a background on the basis of three-dimensional data of the real space in order to generate a virtual object image obtained by changing a state of the object.

TECHNICAL FIELD

The present disclosure relates to an information processing device, aninformation processing method, and a program.

BACKGROUND ART

In recent years, a technique called augmented reality (AR) that overlaysadditional information on a real space and presents the information to auser has drawn attention. The information presented to the user in theAR technique is visualized by using various forms of virtual objectssuch as text, icon, or animation. A virtual object is located in an ARspace in accordance with a position of a real object to be associatedtherewith and can be moved, can collide, and can be deformed in the ARspace, for example.

For example, Patent Literature 1 cited below discloses a technique fordeforming a virtual object and a technique for moving a virtual objectwhile determining collision with terrain expressed by a virtual object.

CITATION LIST Patent Literature

Patent Literature 1:JP 2012-141822A

SUMMARY OF INVENTION Technical Problem

However, the techniques disclosed in Patent Literature 1 cited aboveonly express changes in virtual objects such as deformation of a virtualobject and interaction between virtual objects. In order to give a usera stronger impression that a real world is enhanced by using the ARtechnique, it is desirable to provide expression that changes an objectin a real space.

Solution to Problem

According to the present disclosure, there is provided an informationprocessing device including: a recognition unit configured to recognizean object included in a real space so as to distinguish the object froma background on the basis of three-dimensional data of the real space inorder to generate a virtual object image obtained by changing a state ofthe object.

According to the present disclosure, there is provided an informationprocessing method including: recognizing, by a processor, an objectincluded in a real space so as to distinguish the object from abackground on the basis of three-dimensional data of the real space inorder to generate a virtual object image obtained by changing a state ofthe object.

According to the present disclosure, there is provided a program forcausing a computer to function as: a recognition unit configured torecognize an object included in a real space so as to distinguish theobject from a background on the basis of three-dimensional data of thereal space in order to generate a virtual object image obtained bychanging a state of the object.

Advantageous Effects of Invention

As described above, according to the present disclosure, it is possibleto give a user a stronger impression that a real world is enhanced byusing an AR technique. Note that the effects described above are notnecessarily limited, and along with or instead of the effects, anyeffect that is desired to be introduced in the present specification orother effects that can be expected from the present specification may beexhibited.

BRIEF DESCRIPTION OF DRAWINGS

FIG. 1 is a diagram for explaining an overview of AR display processingaccording to an embodiment of the present disclosure.

FIG. 2 is a block diagram showing an example of a configuration of asmartphone according to this embodiment.

FIG. 3 is a diagram for explaining processing for recognizing a targetobject.

FIG. 4 is an explanatory view for explaining processing for generatingbackground texture.

FIG. 5 is an explanatory view for explaining processing for generatingbackground texture.

FIG. 6 illustrates an example of a UI for generating background texture.

FIG. 7 is a diagram for explaining dynamic drawing mask generationprocessing caused by a state change in a target object.

FIG. 8 is an explanatory view for explaining processing for displayingbackground texture.

FIG. 9 is an explanatory view for explaining processing for displayingbackground texture.

FIG. 10 is an explanatory view for explaining processing for displayingbackground texture.

FIG. 11 illustrates an example of processing for correcting brightnessof change texture.

FIG. 12 is a flowchart showing an example of a flow of processing forgenerating a change object, which is executed in the smartphoneaccording to this embodiment.

FIG. 13 is a flowchart showing an example of a flow of bufferingprocessing, which is executed in the smartphone according to thisembodiment.

FIG. 14 is a flowchart showing an example of a flow of processing forgenerating background texture, which is executed in the smartphoneaccording to this embodiment.

FIG. 15 is a flowchart showing an example of a flow of processing forgenerating change texture, which is executed in the smartphone accordingto this embodiment.

FIG. 16 is a flowchart showing an example of a flow of AR displayprocessing, which is executed in the smartphone according to thisembodiment.

DESCRIPTION OF EMBODIMENTS

Hereinafter, (a) preferred embodiment(s) of the present disclosure willbe described in detail with reference to the appended drawings. In thisspecification and the appended drawings, structural elements that havesubstantially the same function and structure are denoted with the samereference numerals, and repeated explanation of these structuralelements is omitted.

Note that description will be provided in the following order.

1. Overview 2. Configuration Example of Smartphone 3. OperationProcessing 3-1. Processing for Generating Change Object 3-2. BufferingProcessing 3-3. Processing for Generating Background Texture 3-4.Processing for Generating Change Texture 3-5. AR Display Processing 4.Conclusion 1. OVERVIEW

An overview of AR display processing according to an embodiment of thepresent disclosure will be described with reference to FIG. 1.

FIG. 1 is a diagram for explaining an overview of AR display processingaccording to an embodiment of the present disclosure. As illustrated inFIG. 1, a user looks at a display unit 7 while holding a smartphone 1 inhis hand, and an image pickup unit located on a back surface side of thedisplay unit 7 is directed toward a desk. On the desk, a telephone set10, a packing tape 11, a helmet 12, a beverage can 13, and a spray can14 are placed. As indicated by a reference sign 100 in FIG. 1, thesmartphone 1 according to this embodiment can perform display obtainedby changing those objects placed on the desk in a real space.

As indicated by the reference sign 100 in FIG. 1, the smartphone 1displays a state in which a ball 120, which is a virtual object, isthrown from the smartphone 1 and collides with an object on the desk toact the real space. Specifically, the smartphone 1 performs display byoverlaying AR images 111 and 112 showing the flown packing tape 11 andthe broken helmet 12 on a captured image obtained by capturing an imageof the real space in real time. Further, the smartphone 1 performsdisplay by overlaying AR images 121 and 122 showing backgrounds onrespective regions where the packing tape 11 and the helmet 12 haveoriginally been positioned, the regions being portions that are newlyexposed due to moving or breakage. Although the telephone set 10, thebeverage can 13, and the spray can 14 are real objects, the ball 120does not collide with the telephone set 10, the beverage can 13, or thespray can 14. Therefore, as indicated by the reference sign 100 in FIG.1, the smartphone 1 displays through images of the telephone set 10, thebeverage can 13, and the spray can 14 as they are. Hereinafter, amongthe real objects, an object that is a target to be subjected to a statechange, such as an object to be flown or broken, will be referred to asa target object, and an object other than the target object, such as adesk or a wall, will also be referred to as a background object. Acaptured image obtained by capturing an image of the real space in realtime will also be referred to as a through image.

As first advance preparations for realizing such expression, first, thesmartphone 1 acquires three-dimensional data of the real space. Thethree-dimensional data is data containing position information on apexesof an object in the real space, segments connecting the apexes, and asurface surrounded by the segments and is information that expresses athree-dimensional shape (surface) of the real space. By using thisthree-dimensional data, the smartphone 1 can display an AR image (objectimage) in an appropriate position and can express interaction such ascollision between a virtual object and a real object.

As second advance preparations, the smartphone 1 collects images basedon which an AR image related to a background object is generated andgenerates texture of a surface (surface image) of the background object.Specifically, first, regarding a portion corresponding to the backgroundobject among surfaces in the three-dimensional data, the smartphone 1collects a captured image obtained by capturing an image of a region inthe real space corresponding to the portion and buffers the capturedimage. For example, in the example illustrated in FIG. 1, in the casewhere there is only a captured image captured on a front side of thepacking tape 11, a background object on a back surface side of thepacking tape 11 is not captured because the background object is hidden.Therefore, the smartphone 1 buffers not only a captured image capturedon the front side of the packing tape 11 but also a captured imagecaptured on the back surface side of the packing tape 11. Then, thesmartphone 1 combines the buffered captured images (buffer images),thereby generating an image of virtual texture (background texture) inwhich the target object does not exist.

As third advance preparations, the smartphone 1 generates texture basedon which an AR image related to a target object is generated.Specifically, first, the smartphone 1 generates a virtual object (changeobject) obtained by changing a state of the target object and calculatesa current position. For example, in the example illustrated in FIG. 1,the smartphone 1 generates three-dimensional data of a broken piece 112of the helmet 12. Then, the smartphone 1 generates change texture to bedisplayed on a surface of the change object.

In the case where the AR display described above is executed, thesmartphone 1 displays an AR image while dynamically masking a throughimage in accordance with a change in a state of an object such asbreakage or move. Specifically, first, the smartphone 1 calculates astate change in the change object generated as advance preparations anddynamically determines a current position of the change object in thethrough image. For example, in the example illustrated in FIG. 1, acurrent position of the flown packing tape 111 and a current position ofthe broken piece 112 of the helmet 12 are calculated. Then, thesmartphone 1 generates a drawing mask that transmits, in the throughimage, a region for performing display different from the real space atthe time of AR display. For example, regarding the packing tape 11illustrated in FIG. 1, there is generated a drawing mask that transmitsa background that is newly exposed because the packing tape 11 is flownand a region for displaying the flown packing tape 11. Then, thesmartphone 1 displays texture corresponding to such regions transmittedin the drawing mask.

Regarding an AR image of a background object, the smartphone 1 displaysbackground texture generated in advance preparations on a surface of thebackground object by using a drawing mask. For example, in the exampleillustrated in FIG. 1, the corresponding region 121 of the backgroundtexture is displayed in the background region that is newly exposedbecause the packing tape 11 is flown. In this way, the smartphone 1 candisplay a natural background in a region that is newly exposed due to astate change in a target object.

Regarding an AR image of a target object, the smartphone 1 displayschange texture generated in advance preparations on a surface of achange object. However, in order to express a state change in the targetobject more naturally, the smartphone 1 attaches, to portions ofsurfaces of the change object which are exposed in a through image, acorresponding region in the through image and attaches change texture toother regions. For example, in the example illustrated in FIG. 1,because a circumferential portion of the packing tape 11 is exposed, thesmartphone 1 displays the circumferential portion by attaching an imageof the circumferential portion in the through image to thecircumferential portion of the flown packing tape 111. Meanwhile,because, for example, inside of the helmet 12 is hidden, the smartphone1 displays change texture generated in advance preparations in a brokencross-section of the broken piece 112. In this way, the smartphone 1 canexpress more naturally a target object whose state has been changed.

Note that, although FIG. 1 illustrates an example where an informationprocessing device according to an embodiment of the present disclosureis realized as the smartphone 1, a technique according to the presentdisclosure is not limited thereto. For example, the informationprocessing device may be a head mounted display (HMD), a digital camera,a digital video camera, a tablet terminal, a mobile phone terminal, orthe like. In the case where the information processing device isrealized as an HMD, the HMD may perform display by overlaying an ARimage on a through image captured by a camera or may display an AR imageon a display unit formed in a transparent or semitransparent throughstate.

The overview of the AR display processing according to this embodimenthas been described above. Next, a configuration of the smartphone 1according to this embodiment will be described with reference to FIG. 2to FIG. 11.

2. CONFIGURATION EXAMPLE OF SMARTPHONE

FIG. 2 is a block diagram showing an example of a configuration of thesmartphone 1 according to this embodiment. As shown in FIG. 2, thesmartphone 1 includes an image pickup unit 2, a posture informationacquisition unit 3, a three-dimensional data acquisition unit 4, acontrol unit 5, a display control unit 6, and the display unit 7.

(1) Image Pickup Unit 2

The image pickup unit 2 includes, for example, a lens system includingan image pickup lens, a diaphragm, a zoom lens, and a focus lens, andthe like, a drive system for causing the lens system to perform focusingoperation and zooming operation, and a solid-state image pickup elementarray for performing photoelectric conversion on image pickup lightobtained in the lens system and generating an image pickup signal. Thesolid-state image pickup element array may be realized by, for example,a charge coupled device (CCD) sensor array or a complementary metaloxide semiconductor (CMOS) sensor array. The image pickup unit 2 may bea single-lens camera or a stereo camera. A captured image captured bythe single-lens camera or the stereo camera may be used to generatetexture with the use of an image generation unit 53 described below ormay be used to generate dynamic three-dimensional data with the use ofthe three-dimensional data acquisition unit 4.

The image pickup unit 2 according to this embodiment has a function ofcapturing an image of the real space to acquire an image used togenerate texture with the use of a change object generation unit 52described below. The image pickup unit 2 also has a function ofacquiring a through image obtained by capturing an image of the realspace in real time. The image pickup unit 2 outputs the captured imagesto the control unit 5 and the display control unit 6.

(2) Posture Information Acquisition Unit 3

The posture information acquisition unit 3 has a function of acquiringposture information indicating a position and an angle (posture) of thesmartphone 1. The posture information acquisition unit 3 particularlyacquires posture information on the image pickup unit 2. In order topresent truly useful information to a user in an AR technique, it isimportant that a computer accurately grasp a situation of the realspace. Therefore, a technique for grasping a situation of the realspace, which is a basis of the AR technique, has been developed. One ofsuch techniques is, for example, a technique called simultaneouslocalization and mapping (SLAM) capable of simultaneously estimating aposition and a posture of a camera and a position of a feature pointexisting in an image of the camera. Basic principles of the SLAMtechnique using a single-lens camera are described in “Andrew J.Davison, “Real-Time Simultaneous Localization and Mapping with a SingleCamera”, Proceedings of the 9th IEEE International Conference onComputer Vision Volume 2, 2003, pp. 1403-1410″. Note that, inparticular, a SLAM technique for visually estimating a position by usinga camera image is also referred to as visual SLAM (VSLAM). In the SLAMtechnique, a position and a posture of a camera are estimated by usingan environment map and a camera image. In the case where, for example,the SLAM technique is used, the posture information acquisition unit 3can accurately position polygon information for forming a shape of anobject with respect to a real object by matching an environment map witha three-dimensional position of a feature point belonging to the object.The posture information acquisition unit 3 acquires posture informationon the image pickup unit 2 on the basis of a result of this positioning.In addition, the posture information acquisition unit 3 may acquireposture information on the image pickup unit 2 by using a postureestimation technique using a marker, a technique called Dense Trackingand Mapping in Real-Time (DTAM), or a technique called Kinect Fusion.The posture information acquisition unit 3 may also acquire postureinformation on the basis of information detected by an accelerationsensor, an angular velocity (gyro) sensor, and a geomagnetic sensor. Theposture information acquisition unit 3 outputs the acquired postureinformation to the control unit 5 and the display control unit 6.

(3) Three-Dimensional Data Acquisition Unit 4

The three-dimensional data acquisition unit 4 has a function ofacquiring three-dimensional data of the real space. Thethree-dimensional data can be prepared by, for example, a single-lensimage pickup sensor, a multiple-lens image pickup sensor, or a shapesensor using infrared rays. The three-dimensional data acquisition unit4 may generate three-dimensional data by using the image pickup unit 2or the shape sensor (not shown) using infrared rays and the postureinformation acquisition unit 3 or may acquire, from an external device,three-dimensional data generated in another terminal in advance. Thethree-dimensional data is realized as, for example, computer assisteddrafting (CAD) data. The three-dimensional data acquisition unit 4outputs the acquired three-dimensional data to the control unit 5 andthe display control unit 6.

(4) Control Unit 5

The control unit 5 functions as an arithmetic processing unit and acontrol device and controls whole operation in the smartphone 1 inaccordance with various kinds of programs. The control unit 5 isrealized by, for example, an electronic circuit such as a centralprocessing unit (CPU) or a microprocessor. Note that the control unit 5may include a read only memory (ROM) for storing programs, calculationparameters, and the like to be used and a random access memory (RAM) fortemporarily storing parameters and the like which are changed asappropriate. As shown in FIG. 2, the control unit 5 functions as arecognition unit 51, the change object generation unit 52, and the imagegeneration unit 53.

(4-1) Recognition Unit 51

The recognition unit 51 has a function of recognizing a target objectincluded in the real space so as to distinguish the target object from abackground object on the basis of the three-dimensional data of the realspace acquired by the three-dimensional data acquisition unit 4. Forexample, assuming that the three-dimensional data indicates anartificial object (for example, a structure of an interior of a room),the recognition unit 51 recognizes a floor surface (dominant plane) anda wall surface from the three-dimensional data. Then, the recognitionunit 51 recognizes, as the target object, a three-dimensional shapeother than the floor surface or the wall surface, the three-dimensionalshape being protruded on the floor surface and having a volume equal toor larger than a threshold. Note that, for example, a portion of therecognized target object, which has originally been in contact with thefloor surface or the wall surface, can be a missing portion (hole)because the portion is not registered as a surface in thethree-dimensional data. Therefore, the recognition unit 51 interpolatesthe missing portion by extending apexes around the missing portion,connecting the apexes around the missing portion with lines, orcompensating a surface. In addition, the recognition unit 51 mayinterpolate the missing portion by using a preexisting algorithm. Withthis, it is possible to calculate a volume because manifoldness of thetarget object is secured. Therefore, the recognition unit 51 canappropriately recognize the target object. The target object recognizedby the recognition unit 51 is a target to be used for generating achange object with the use of the change object generation unit 52described below. Among three-dimensional shapes indicated by thethree-dimensional data, the recognition unit 51 recognizes athree-dimensional shape other than the target object as a backgroundobject. The background object recognized by the recognition unit 51 soas to be distinguished from the target object is excluded from targetsto be used for generating change objects with the use of the changeobject generation unit 52 described below. The recognition unit 51 mayinterpolate a missing portion of the background object in the same wayas the missing portion of the target object. Hereinafter, processing forrecognizing a target object with the use of the recognition unit 51 willbe described with reference to FIG. 3.

FIG. 3 is a diagram for explaining processing for recognizing a targetobject. Herein, it is assumed that three-dimensional data indicated by areference sign 200 in FIG. 3 is acquired by the three-dimensional dataacquisition unit 4. The recognition unit 51 extracts planes from thethree-dimensional data 200 and recognizes a plane 201 having the largestarea as a floor surface. At this time, the recognition unit 51 mayextract the floor surface 201 on the basis of a direction of gravitydetected by an acceleration sensor of a terminal that has acquired thethree-dimensional data 200. In the case where the three-dimensional data200 is generated by the three-dimensional data acquisition unit 4, thefloor surface 201 is extracted on the basis of the direction of gravitydetected by the acceleration sensor at the time of generation of thedata. The use of the direction of gravity improves floor surfaceextraction accuracy. Note that it is expected that, in the case wherethe three-dimensional data indicates shapes in nature, a floor surface(ground) is rough, and therefore the recognition unit 51 may extract thefloor surface by using a moderate gradient threshold. Further, therecognition unit 51 recognizes a wall surface 202 from objects mountedon the floor surface. For example, the recognition unit 51 defines arectangle (axis aligned boundary box) and recognizes, as the wallsurface 202, a shape group that is vertical to the floor surface and isprovided in an end portion of the three-dimensional shape indicated bythe three-dimensional data. With the processing described above, therecognition unit 51 recognizes the target object 210 and a backgroundobject 220 other than the target object so as to separate the targetobject 210 from the background object 220.

(4-2) Change Object Generation Unit 52

The change object generation unit 52 has a function of generating achange object obtained by changing a state of a target object recognizedby the recognition unit 51. Specifically, the change object generationunit 52 generates data containing position information on apexes of thechange object, segments connecting the apexes, and a surface surroundedby the segments. The change object may be, for example, broken piecesobtained by breaking the target object or may be a target object with anuneven surface. For example, the change object generation unit 52generates a change object indicating broken pieces by applying analgorithm such as Voronoi Fracture or Voronoi Shatter to the targetobject. Hereinafter, processing for generating a change object with theuse of the change object generation unit 52 will be described withreference to FIG. 3 again.

As illustrated in FIG. 3, the change object generation unit 52 forms abroken cross-section generated due to breakage on the target object 210recognized by the recognition unit 51 and divides the target object intoa plurality of pieces, thereby generating a change object 230 indicatingbroken pieces. At this time, the change object generation unit 52 setsflag information indicating whether or not a surface of each of thebroken pieces is a surface of the target object before the target objectis broken. This flag information is referred to when the broken piecesare drawn by the display control unit 6 described below.

(4-3) Image Generation Unit 53

The image generation unit 53 has a function of generating, in advance,texture based on which an AR image is generated as advance preparationsfor AR display. Specifically, the image generation unit 53 generates avirtual object image of a background object recognized by therecognition unit 51, i.e., texture (background texture) to be displayedon a surface of the background object which is newly exposed due to astate change. The image generation unit 53 also generates a virtualobject image obtained by changing a state of a target object recognizedby the recognition unit 51, i.e., texture (change texture) to bedisplayed on a surface of a change object generated by the change objectgeneration unit 52. The image generation unit 53 generates texture onthe basis of, for example, a captured image obtained by capturing animage of the real space with the use of the image pickup unit 2.

(4-3-1) Generation of Background Texture

The image generation unit 53 combines background parts exposed in one ormore captured images obtained by capturing images of the real space,thereby generating background texture (first surface image) to bedisplayed on a surface of a background object. Specifically, the imagegeneration unit 53 collects images corresponding to a background objectfrom the one or more captured images and combines the images by using,as a minimum unit, a region (hereinafter, also referred to as a polygon)divided by segments connecting apexes in three-dimensional data, therebygenerating an image of the background texture. FIG. 4 is an explanatoryview for explaining processing for generating background texture. FIG. 4shows correspondence between a captured image of the real space andthree-dimensional data. In FIG. 4, surfaces of target objects are shownas polygons surrounded by solid lines, and surfaces of the backgroundobject are shown as polygons surrounded by broken lines. The imagegeneration unit 53 generates the background texture by collecting, fromone or more captured images, images corresponding to the polygons of thebackground object indicated by the broken lines in FIG. 4 and combiningthe images.

The image generation unit 53 buffers a plurality of captured imagescaptured by the image pickup unit 2 and forms background texture bycombining one or more buffered buffer images. At the time of buffering,the image generation unit 53 preferentially buffers a captured imagehaving high independence. High independence means that an overlappedportion where background is hidden by target objects is small. Withthis, the image generation unit 53 can generate background texturehaving more polygons with fewer images, and therefore the number ofseams generated at the time of combination is reduced. Thus, morenatural AR display is realized. The image generation unit 53preferentially buffers a captured image captured recently. With this,the image generation unit 53 can generate background texture with acaptured image captured more recently. This reduces a difference betweena time at which a buffer image based on which an AR image is generatedis captured and a time at which a through image is captured. Thus, morenatural AR display is realized. Note that, in the present specification,description will be provided assuming that the image generation unit 53generates background texture with the use of a plurality of bufferimages, but a technique according to the present disclosure is notlimited thereto. For example, the image generation unit 53 may generatechange texture described below by using a plurality of buffer images. Inaddition, the image generation unit 53 may generate arbitrary texturerelated to a real object by using a plurality of buffer images.

The image generation unit 53 determines independence for each apex.Specifically, the image generation unit 53 performs buffering so as tovisualize apexes of the background object as much as possible. Forexample, the image generation unit 53 determines invisible apexes andvisible apexes of the background object and performs buffering so thatall apexes become visible apexes in any captured image. Becausevisibility is determined for each apex, the determination number isreduced and a calculation amount is reduced, as compared with the casewhere visibility is determined for each pixel. Note that, among theapexes in the three-dimensional data, the visible apex is an apex whosecorresponding position in a captured image is exposed. Meanwhile, amongthe apexes in the three-dimensional data, the invisible apex is an apexwhose corresponding position in a captured image is hidden. For example,in the example illustrated in FIG. 4, apexes 310 in front of the helmet12 are visible apexes, and hidden apexes 320 behind the helmet 12 areinvisible apexes. As a matter of course, the image generation unit 53may determine visibility for each pixel when machine power is increased.

The image generation unit 53 calculates which position at which angle inthe real space the image pickup unit 2 captures an image by usingposture information acquired by the posture information acquisition unit3 and the three-dimensional data, thereby determining visibility of anapex in a captured image and determining whether to perform buffering.FIG. 5 is an explanatory view for explaining processing for generatingbackground texture. As illustrated in FIG. 5, the image generation unit53 dynamically calculates apex positions of target objects by using theposture information and the three-dimensional data and generates a mask410 that transmits regions of the target objects in a captured image400. Then, the image generation unit 53 determines apexes included inthe regions transmitted in the mask 410 as invisible apexes anddetermines other apexes as visible apexes. Note that the imagegeneration unit 53 may determine visibility of apexes by using a mask420 obtained by two-dimensionally increasing the transmission regions inthe mask 410 instead of using the mask 410. In this case, apexes in awider range are determined as invisible apexes, and therefore a postureestimation error of the posture information acquisition unit 3 iscorrected. This prevents erroneous determination, i.e., prevents aninvisible apex from being erroneously determined as a visible apex.

As described above, the image generation unit 53 generates an image ofbackground texture by combining one or more buffer images. The imagegeneration unit 53 preferentially combines captured images having alarge visible area. More specifically, the image generation unit 53combines buffer images so that a region obtained by combining thecaptured images having a large visible area occupies a larger region inthe background texture. With this, the background texture is generatedwith fewer captured images, and therefore more unified and natural ARdisplay is realized. Note that the image generation unit 53 maydetermine that a visible area is large in the case where the number ofvisible apexes are large and may determine that a visible area is smallin the case where the number of visible apexes is small.

In the background object, a polygon invisible in all buffer images, suchas a floor surface that is in contact with a target object, can be ablank missing portion in combined background texture. Therefore, theimage generation unit 53 may interpolate the missing portion in thebackground texture by using an image interpolation algorithm such asInpainting. Note that, in the background texture, a region obtained bycombining the buffer images will be referred to as background texture ina visible region, whereas a region interpolated by using the imageinterpolation algorithm such as Inpainting will be referred to asbackground texture in an invisible region.

The smartphone 1 may provide a user interface (UI) for buffering acaptured image having high independence. For example, the smartphone 1displays a UI for leading the image pickup unit 2 so that a whole regionof a portion corresponding to a background among surfaces of a solidbody indicated by the three-dimensional data is exposed in at least oneof one or more buffered captured images. Specifically, the smartphone 1leads a user so that all apexes in the background in thethree-dimensional data are visible apexes in any buffered capturedimage. FIG. 6 illustrates an example of a UI for generating backgroundtexture. A UI 500 illustrated in FIG. 6 shows, for example, display 512showing that a back surface of the helmet 12 and a surface thereof whichis in contact with a floor are not included in buffered captured images.Therefore, the UI 500 shows display 520 for leading capturing of animage from a back surface side of the helmet 12. In the case where acaptured image obtained by capturing the packing tape 11 from abackground side of the packing tape 11 has already been buffered, the UIshows a display 511 showing that a surface of the packing tape 11 whichis in contact with the floor is not included in the buffered capturedimages. Further, the smartphone 1 may perform buffering while giving afeeling that a user plays a game by displaying display 530 showing acollection rate. Such display of the UI is performed by the displaycontrol unit 6 described below.

An environmental change occurs in the real space as time passes, forexample, and a plurality of buffered images have different brightnessvalues in some cases. In view of this, at the time of buffering or atthe time of generation of texture, the image generation unit 53 recordsbrightness values near positions corresponding to apexes in thethree-dimensional data, the positions being in a background exposed inthe buffered captured images. The display control unit 6 described belowcompares the brightness values so that the images are matched with athrough image, thereby correcting a brightness value of the texture.Therefore, more natural AR display is realized. In order to improveaccuracy of correction, the image generation unit 53 may record aplurality of brightness values associated with apexes as distribution ofbrightness values. Among the visible apexes, the image generation unit53 records only pixel values of visible apexes of a background objectnear a position in which background texture is displayed, i.e., near atarget object. This reduces the number of times of comparison ofbrightness values, which is performed by the display control unit 6described below to take matching, and accuracy of correction ofbrightness values is improved. As a matter of course, recording of pixelvalues and comparison of brightness values may be performed for allvisible apexes when machine power is increased. Note that the imagegeneration unit 53 may determine whether to record a brightness value onthe basis of a normal vector of a position corresponding to an apex inthe captured image. For example, when the image generation unit 53records a brightness value in the case where a direction of a normalvector is directed toward the image pickup unit 2, the image generationunit 53 can prevent recording of a brightness value in a position inwhich a disturbance can be caused such as a lateral direction. The imagegeneration unit 53 records a sufficient number of pixel values of apexesto exclude an influence caused by an outlier.

(4-3-2) Generation of Change Texture

The image generation unit 53 generates change texture to be displayed ona surface of a change object generated by the change object generationunit 52. As texture to be displayed regarding the change object, forexample, there are two kinds of texture, i.e., texture of an invisibleportion such as a cross-section of a broken piece and texture of avisible portion that has originally been exposed. The image generationunit 53 generates the former texture as change texture (second surfaceimage). Regarding the latter texture, a corresponding portion in athrough image is displayed by the display control unit 6 describedbelow.

The image generation unit 53 generates change texture by performingestimation on the basis of a portion corresponding to an exposed surfaceof a target object in a captured image. For example, when the changetexture is generated, the image generation unit 53 may determine asingle color on the basis of, for example, an average value of pixelvalues in a portion of the target object exposed in the captured image.A polygon in an invisible region of the change object is painted in thesingle color by the display control unit 6 described below. In addition,the image generation unit 53 may generate the change texture by using animage interpolation algorithm such as Inpainting. In the exampleillustrated in FIG. 4, a surface of the helmet 12 is visible and theinside of the helmet 12 is invisible. Therefore, in the case where, forexample, the AR image 112 showing the broken helmet 12 illustrated inFIG. 1 is displayed, the image generation unit 53 averages pixel valuesof the surface of the helmet 12 to determine a single color as color ofchange texture of an invisible broken cross-section of a broken piece.

As described above, background texture and change texture are generatedon the basis of images captured by the image pickup unit 2, but atechnique according to the present disclosure is not limited thereto.For example, the image generation unit 53 may generate backgroundtexture and change texture on the basis of captured images captured byan external image pickup device in advance. However, considering apossibility that image pickup conditions are different, it is preferablethat an image pickup unit for capturing captured images based on whichbackground texture and change texture are generated and an image pickupunit for capturing a through image on which an AR image is overlaid bethe same. Note that background texture and change texture may begenerated without using captured images. For example, the imagegeneration unit 53 may generate texture painted in an arbitrary singlecolor or may generate texture expressing perspective on the basis of aresult of sensing performed by a depth sensor (not illustrated).

(5) Display Control Unit 6

The display control unit 6 has a function of controlling the displayunit 7 so that the display unit 7 performs AR display by using textureor a through image generated by the image generation unit 53.Specifically, first, the display control unit 6 dynamically determinesapex positions of a background object and a change object in a throughimage by using posture information acquired by the posture informationacquisition unit 3 and three-dimensional data acquired by thethree-dimensional data acquisition unit 4. Then, the display controlunit 6 displays the through image on which the AR image is overlaidwhile dynamically masking the through image in accordance with a statechange in the change object. Control performed by the display controlunit 6 is roughly classified into the following four categories:calculation of a state of a change object; generation of a dynamicdrawing mask; display of background texture; and display of texture on achange object.

(5-1) Calculation of State of Change Object

The display control unit 6 calculates a state of a change object.Specifically, first, the display control unit 6 calculates a move of thechange object. Then, the display control unit 6 dynamically determinesapex positions of a background object and the change object in a throughimage by using the posture information and the three-dimensional data.For example, in the case where the state change is breakage, the displaycontrol unit 6 physically calculates positions and postures of brokenpieces and determines apex positions of the background object and apexpositions of each broken piece in the through image.

(5-2) Generation of Dynamic Drawing Mask

The display control unit 6 dynamically generates a drawing mask thattransmits, in a through image, a region for performing AR displaydifferent from the real space in accordance with a state change in atarget object. For example, in the example illustrated in FIG. 1, thehelmet 12 moves backward due to an impact of collision with the ball120, and therefore there is generated a drawing mask that transmits abackground newly exposed due to the move and a region in which brokenpieces of the broken helmet 12 are positioned. Note that the displaycontrol unit 6 may two-dimensionally increase such transmission regionsor may apply Gaussian blur to the drawing mask. With this, a seambetween an original background and texture drawn by using the drawingmask is displayed more naturally. FIG. 7 is a diagram for explainingdynamic drawing mask generation processing caused by a state change in atarget object. A reference sign 610 and a reference sign 620 in FIG. 7indicate images displayed by the display unit 7, and a reference sign612 and a reference sign 622 indicate drawing masks dynamicallygenerated by the display control unit 6. In the case where there is nochange in states of target objects as indicated by the reference sign610 in FIG. 7, the display control unit 6 displays a through image as itis without performing AR display and therefore generates a drawing maskhaving no transmission region as indicated by the reference sign 612.Meanwhile, in the case where the states of the target objects arechanged as indicated by the reference sign 620 in FIG. 7, the displaycontrol unit 6 generates a drawing mask that transmits a region fordisplaying an AR image as indicated by the reference sign 622.

(5-3) Display of Background Texture

The display control unit 6 displays an AR image in which backgroundtexture is attached to a polygon that is in a background object hiddenby a target object and is newly exposed due to a change in a state ofthe target object. Specifically, the display control unit 6 performsdisplay to overlay, on a through image, an AR image in which acorresponding region in background texture is attached to a polygonnewly exposed in a background object while dynamically determining apexpositions of the background object in the through image with the use ofposture information and three-dimensional data. At this time, thedisplay control unit 6 may correct a brightness value or a pixel valueof the background texture. For example, based on a result of comparisonbetween distribution of brightness values recorded at the time ofbuffering and distribution of brightness values in a correspondingposition in the through image, the display control unit 6 corrects abrightness value of the background texture so that both the brightnessvalues become close to each other. With this, matching of the backgroundtexture with the through image is improved, and more natural AR displayis realized. Hereinafter, processing for displaying background texturewill be specifically described with reference to FIG. 8 to FIG. 10.

FIG. 8 to FIG. 10 are explanatory views for explaining processing fordisplaying background texture. FIG. 8 to FIG. 10 illustrate, as anexample, a display example where all target objects are deleted from athrough image. FIG. 8 illustrates an example where background texture ina visible region is displayed in a background hidden by the targetobjects. As illustrated in FIG. 8, for example, in the case where acaptured image captured from the back surface side of the helmet 12 isbuffered, the background texture in the visible region is displayed in aregion of an upper half of the helmet 12. With this, display isperformed as if the upper half of the helmet 12 is transparent. FIG. 9illustrates an example where not only the background texture in thevisible region but also background texture in an invisible region isdisplayed in the background hidden by the target object. As illustratedin FIG. 9, for example, in the case where a captured image obtained bycapturing an image of a floor surface with which the helmet 12 is incontact is not buffered, the background texture in the invisible regionis displayed in a region of a lower half of the helmet 12 correspondingto the floor surface. With this, display is performed as if the helmet12 does not exist. FIG. 10 illustrates a display example where displayof three-dimensional data is deleted from FIG. 9.

(5-4) Display of Texture on Change Object

The display control unit 6 performs display by attaching texture to asurface of a change object with the use of apex positions of the changeobject which has been dynamically determined. As described above, astexture to be displayed regarding the change object, there are two kindsof texture, i.e., texture in an invisible portion and texture in avisible portion. Regarding the former texture, the display control unit6 displays an AR image in which change texture generated by the imagegeneration unit 53 is attached to a polygon that is newly exposed due toa state change in the change object. For example, in the exampleillustrated in FIG. 1, the display control unit 6 attaches texturepainted in a single color determined by the image generation unit 53 toa polygon corresponding to a broken cross-section among polygons of eachof surfaces of broken pieces. Regarding the latter texture, the displaycontrol unit 6 displays an AR image in which an image of a target objectexposed in a through image is attached to a corresponding polygon in achange object. For example, in the example illustrated in FIG. 1, thedisplay control unit 6 attaches an image of the surface of the helmet 12exposed in the through image to a polygon corresponding to the surfaceof the helmet 12 among the polygons of each of the surfaces of thebroken pieces. Note that the display control unit 6 may determinewhether to display change texture or a part of a through image withreference to flag information set by the change object generation unit52.

The display control unit 6 corrects brightness in accordance with adifference between an original position of a target object and aposition of a change object that is dynamically determined. For example,the display control unit 6 estimates a position of a light source on thebasis of brightness distribution of a target object in a through imageand calculates how to expose a change object to light from the estimatedlight source, thereby correcting brightness distribution of changetexture and displaying the change texture. With this, the displaycontrol unit 6 can express how to naturally expose the target object tolight in accordance with a change in a state of the target object suchas breakage or move. FIG. 11 illustrates an example of processing forcorrecting brightness of change texture. As illustrated in FIG. 11, aposition and an angle of a broken piece 710 of the broken telephone set10 are changed due to breakage. Therefore, the display control unit 6expresses a shadow by correcting a brightness value of an outer portion712 of a receiver in the broken piece 710. The display control unit 6can express breakage of the target object more naturally by generating ashadow at the moment of breakage. Note that the position of the lightsource may be a predetermined position.

(6) Display Unit 7

The display unit 7 combines a through image captured by the image pickupunit 2 and an AR image generated by the image generation unit 53 anddisplays the combined image on the basis of control performed by thedisplay control unit 6. The display unit 7 is realized by, for example,a liquid crystal display (LCD) or an organic light-emitting diode(OLED). In the case where an information processing device according tothis embodiment is realized as an HMD, the display unit 7 may be formedin a transparent or semitransparent through state and display an ARimage in the real space displayed on the display unit 7 in the throughstate. In addition, the display unit 7 displays the UI for buffering acaptured image having high independence, which has been described withreference to FIG. 6, on the basis of control performed by the displaycontrol unit 6.

The configuration example of the smartphone 1 according to thisembodiment has been described above. Next, operation processing of thesmartphone 1 according to this embodiment will be described withreference to FIG. 12 to FIG. 16.

3. OPERATION PROCESSING

Hereinafter, operation processing in an example where the smartphone 1displays an AR image in which a target object is broken will bedescribed as an example.

[3-1. Processing for Generating Change Object]

FIG. 12 is a flowchart showing an example of a flow of processing forgenerating a change object, which is executed in the smartphone 1according to this embodiment.

As shown FIG. 12, in Step S102, the recognition unit 51 extracts a floorsurface. Specifically, the recognition unit 51 extracts planes fromthree-dimensional data acquired by the three-dimensional dataacquisition unit 4 and recognizes a plane having the largest area as thefloor surface. At this time, the recognition unit 51 may recognize, asthe wall surface 202, a shape group that is vertical to a floor surfaceand is provided in an end portion of a three-dimensional shape indicatedby the three-dimensional data.

In Step S104, the recognition unit 51 separates a target object from abackground object. Specifically, the recognition unit 51 recognizes, asthe target object, a three-dimensional shape other than the floorsurface or the wall surface, the three-dimensional shape being protrudedon the floor surface and having a volume equal to or larger than athreshold. Further, among three-dimensional shapes indicated by thethree-dimensional data, the recognition unit 51 recognizes athree-dimensional shape other than the target object as a backgroundobject.

In Step S106, the recognition unit 51 interpolates a missing portion ofthe target object. Specifically, regarding a missing portion such as aportion of the target object which has originally been in contact withthe floor surface or the wall surface, the recognition unit 51interpolates the missing portion by extending apexes around the missingportion, connecting the apexes around the missing portion with lines, orcompensating a surface. Similarly, the recognition unit 51 interpolatesa missing portion of a background object.

In Step S108, the change object generation unit 52 generates a changeobject obtained by changing a state of the target object. Specifically,the change object generation unit 52 generates a change object showingbroken pieces by applying an algorithm such as Voronoi Fracture orVoronoi Shatter to the target object.

[3-2. Buffering Processing]

FIG. 13 is a flowchart showing an example of a flow of bufferingprocessing, which is executed in the smartphone 1 according to thisembodiment. As shown in FIG. 13, in Step S202, the image pickup unit 2captures an image of the real space and outputs the captured image tothe image generation unit 53.

In Step S204, the image generation unit 53 estimates a position and aposture of the image pickup unit 2. Specifically, the image generationunit 53 estimates which position at which angle in the real space theimage pickup unit 2 has captured a captured image which is a bufferingcandidate with the use of posture information acquired by the postureinformation acquisition unit 3 and three-dimensional data acquired bythe three-dimensional data acquisition unit 4 in the case where theimage pickup unit 2 captures the image in Step S202.

In Step S206, the image generation unit 53 determines whether to bufferthe captured image captured by the image pickup unit 2 in Step S202.Specifically, first, the image generation unit 53 determines visibilityof an apex of a background object in the captured image on the basis ofthe position and the angle of the image pickup unit 2 in real space,which are estimated in Step S204. Then, the image generation unit 53determines whether to perform buffering so that a captured image thathas high independence and has been recently captured is preferentiallybuffered. With this determination on buffering, background texture isgenerated by using fewer buffer images that have been captured morerecently, and therefore more natural AR display is realized. Note that,in the case where a captured image having higher independence than thatof a buffer image that has already been buffered is newly captured, theimage generation unit 53 may update contents of a buffer by replacingthose buffer images.

In the case where it is determined to perform buffering (S206/YES), inStep S208, the image generation unit 53 buffers the captured image. Onthe contrary, in the case where it is determined not to performbuffering (S206/YES), processing returns to Step S202.

In Step S210, the image generation unit 53 records, as distribution ofbrightness values associated with apexes, a plurality of brightnessvalues near positions corresponding to apexes in three-dimensional data,the positions being in a background exposed in the buffered capturedimage. As described above, the distribution of the brightness valuesrecorded at this time is referred to by the display control unit 6, anda brightness value of background texture is corrected at the time of ARdisplay. With this, more natural AR display is realized.

By repeating the processing described above, the smartphone 1preferentially buffers a captured image that has higher independence andhas been captured more recently.

[3-3. Processing for Generating Background Texture]

FIG. 14 is a flowchart showing an example of a flow of processing forgenerating background texture, which is executed in the smartphone 1according to this embodiment.

As shown in FIG. 14, in Step S302, the image generation unit 53 sortsbuffer images on the basis of a visible area in ascending order, i.e.,in order from the smallest visible area (in order from the fewestvisible apexes). The image generation unit 53 combines the buffer imagesin the sorted order in Step S306 described below, and consequently theimage generation unit 53 preferentially combines buffer images having alarge visible area.

In Step S304, the image generation unit 53 corrects a pixel value foreach buffer image on the basis of a buffer image having the largestvisible area. This prevents generation of unnatural background texturein which pixel values are largely different around a seam.

In Step S306, the image generation unit 53 generates background textureby combining the buffer images in the order sorted in Step S302, i.e.,in the order from the smallest visible area. Specifically, the imagegeneration unit 53 draws the buffer images by overlapping the bufferimages in the order from the smallest visible area and draws a bufferimage having the largest visible area at last. Overlapped portions ofthe buffer images drawn earlier are overwritten by the buffer imagesdrawn later, and therefore, a drawing region is smaller as the visiblearea is smaller. Accordingly, the image generation unit 53 performscombination so that a region obtained by combining captured imageshaving a large visible area occupies a larger region in the backgroundtexture. The image generation unit 53 may express a seam more naturallyby combining the buffer images with the use of a Gaussian blur mask.

In Step S308, the image generation unit 53 interpolates a missingportion of the generated background texture. Specifically, the imagegeneration unit 53 interpolates a region invisible in all the bufferimages, such as a floor surface that is in contact with a target object,by using an image interpolation algorithm such as Inpainting.

With the processing described above, the smartphone 1 generates an imageof background texture.

[3-4. Processing for Generating Change Texture]

FIG. 15 is a flowchart showing an example of a flow of processing forgenerating change texture, which is executed in the smartphone 1according to this embodiment.

As shown in FIG. 15, in Step S402, the image generation unit 53determines a single color to be used for change texture by the displaycontrol unit 6 on the basis of a visible portion of a target object. Inaddition, the image generation unit 53 may generate the change textureby using an image interpolation algorithm such as Inpainting.

With the processing described above, the smartphone 1 generates changetexture. The processing described so far in [3-1. Processing forGenerating Change Object] to [3-4. Processing for Generating ChangeTexture] is executed in advance as advance preparations or is executedimmediately before processing described in the following [3-5. ARDisplay Processing]. This reduces a difference between a time at whichan image based on which various kinds of texture is generated iscaptured and a time at which a through image is captured. Therefore,more natural AR display is realized.

[3-5. AR Display Processing]

FIG. 16 is a flowchart showing an example of a flow of AR displayprocessing, which is executed in the smartphone 1 according to thisembodiment. In FIG. 16, there will be specifically described an examplewhere AR display showing breakage of a target object illustrated in FIG.1 is performed.

As shown in FIG. 16, in Step S502, the display control unit 6 acquires athrough image captured by the image pickup unit 2 in real time andposture information acquired by the posture information acquisition unit3 in real time.

In Step S504, the display control unit 6 calculates positions andpostures of broken pieces. Specifically, the display control unit 6physically calculates motion of the broken pieces and calculates currentpositions of respective apexes of a background object and the brokenpieces in the through image with the use of the posture informationacquired in Step S502 and three-dimensional data.

In Step S506, the display control unit 6 dynamically generates a drawingmask in accordance with a breakage situation. Specifically, the displaycontrol unit 6 generates, by using the apex positions of the brokenpieces determined in Step S504, a drawing mask that transmits a regionfor displaying the broken pieces and a region for displaying backgroundtexture. Note that the display control unit 6 two-dimensionallyincreases transmission regions or applies Gaussian blur to the drawingmask, and therefore a seam between an original background and texturedrawn by using the drawing mask is displayed more naturally.

In Step S508, the display control unit 6 computes a parameter forcorrecting brightness. Specifically, based on a result of comparisonbetween distribution of brightness values recorded at the time ofbuffering and distribution of brightness values in a correspondingposition in the through image, the display control unit 6 corrects abrightness value of the background texture so that both the brightnessvalues become close to each other.

In Step S510, the display control unit 6 draws the through imagecaptured by the image pickup unit 2 in real time. Change texture and thebackground texture are drawn to be overlaid in subsequent processing,and thus an AR image is overlaid on the through image.

In Step S512, the display control unit 6 fills a depth buffer with allobjects such as a change object and a background object.

In Step S514, the display control unit 6 draws the background texture onthe basis of the drawing mask generated in Step S506. Specifically, withreference to the depth buffer, the display control unit 6 draws thebackground texture by attaching a corresponding region in the backgroundtexture to a polygon included in a region of the background objecttransmitted in the drawing mask.

In Step S516, the display control unit 6 draws broken pieces.Specifically, with reference to the depth buffer, the display controlunit 6 paints a polygon of, for example, a cross-section of a brokenpiece that is newly exposed due to a state change among the brokenpieces in a single color determined by the image generation unit 53.Further, the display control unit 6 draws an image of a surface of atarget object which is exposed in the through image in a correspondingpolygon of the broken piece.

In Step S518, the display control unit 6 performs various kinds ofpostprocessing. For example, the display control unit 6 draws othervirtual objects or estimates a position of a light source to draw ashadow.

With the processing described above, the smartphone 1 performs displayso as to overlay, on a through image, an AR image expressing a state inwhich a target object existing in the real space is broken.

4. CONCLUSION

An embodiment of a technique according to the present disclosure hasbeen described so far in detail with reference to FIG. 1 to FIG. 16.According to the embodiment described above, expression that changes anobject existing in the real space is provided, and therefore it ispossible to give a user a stronger impression that a real world isenhanced by using the AR technique. For example, the smartphone 1according to this embodiment can naturally express breakage of an objectexisting in the real world.

The preferred embodiment(s) of the present disclosure has/have beendescribed above with reference to the accompanying drawings, whilst thepresent disclosure is not limited to the above examples. A personskilled in the art may find various alterations and modifications withinthe scope of the appended claims, and it should be understood that theywill naturally come under the technical scope of the present disclosure.

For example, in the embodiment described above, an example where theimage pickup unit 2, the posture information acquisition unit 3, thethree-dimensional data acquisition unit 4, the control unit 5, thedisplay control unit 6, and the display unit 7 are formed in the samedevice as the smartphone 1 has been described, but this technique is notlimited to this example. For example, the image pickup unit 2 may beincluded in an external device and the smartphone 1 may perform theabove AR display on the basis of a captured image acquired from anexternal device. In addition, for example, a server in a cloud mayinclude the three-dimensional data acquisition unit 4, the control unit5, and the display control unit 6, and a client device connected to theserver via a network may include the image pickup unit 2, the postureinformation acquisition unit 3, and the display unit 7. In this case,the client device may send a captured image and posture information tothe server and display an AR image in accordance with various kinds ofcalculation and control performed by the server.

In the embodiment described above, an example where a state change in atarget object is breakage has been described, but the present disclosureis not limited to this example. For example, the smartphone 1 mayexpress increase/decrease in a size and move of the target object. Inthe case where move of the target object is expressed, a techniqueaccording to the present disclosure can be applied to, for example, aremodeling simulator for virtually moving a desk or a chair.

The series of control processes carried out by each apparatus describedin the present specification may be realized by software, hardware, or acombination of software and hardware. Programs included such softwaremay be stored in advance for example on a storage medium (non-transitorymedium) provided inside or outside each of the apparatus. As oneexample, during execution, such programs are written into RAM (RandomAccess Memory) and executed by a processor such as a CPU.

In addition, the effects described in the present specification aremerely illustrative and demonstrative, and not limitative. In otherwords, the technology according to the present disclosure can exhibitother effects that are evident to those skilled in the art along with orinstead of the effects based on the present specification.

Additionally, the present technology may also be configured as below.

(1) An information processing device, including:

a recognition unit configured to recognize an object included in a realspace so as to distinguish the object from a background on the basis ofthree-dimensional data of the real space in order to generate a virtualobject image obtained by changing a state of the object.

(2) The information processing device according to (1), furtherincluding:

an image generation unit configured to generate the object image of theobject recognized by the recognition unit.

(3) The information processing device according to (2), furtherincluding:

a change object generation unit configured to generate a virtual changeobject obtained by changing the state of the object; and

a display control unit configured to control a display unit so that thedisplay unit displays the object image generated by the image generationunit on a surface of the change object.

(4) The information processing device according to (3),

wherein the image generation unit generates, on the basis of a portioncorresponding to an exposed surface of the object in a captured imageobtained by capturing an image of the real space, a second surface imageobtained by estimating a surface of the object hidden in the capturedimage, and

wherein the display control unit displays the object image in which thesecond surface image is attached to a region of the change object whichis newly exposed due to the change.

(5) The information processing device according to (3) or (4),

wherein the display control unit displays the object image obtained byattaching an image of a target object exposed in a through imageobtained by capturing an image of the real space in real time to acorresponding region of the change object.

(6) The information processing device according to any one of (3) to(5),

-   -   wherein the display control unit displays the object image by        estimating a position of a light source in the real space and        correcting brightness of the object image in accordance with the        estimated position of the light source.

(7) The information processing device according to any one of (3) to(6),

wherein the display control unit displays the object image obtained byattaching a first surface image to a portion that is in the backgroundhidden by the object and is newly exposed due to a change in the stateof the object.

(8) The information processing device according to (7),

wherein the image generation unit generates the first surface image bycombining the backgrounds exposed in one or more captured imagesobtained by capturing images of the real space.

(9) The information processing device according to (8),

wherein, among the captured images obtained by capturing images of thereal space, the image generation unit preferentially buffers thecaptured image that has a small overlapped portion in which thebackground is hidden by the object and has been captured recently, anduses the buffered captured image to generate the first surface image.

(10) The information processing device according to (9),

wherein the image generation unit determines whether to buffer acaptured image on the basis of posture information indicating a positionand an angle of an image pickup unit that has captured the capturedimage and the three-dimensional data.

(11) The information processing device according to (9) or (10),

wherein, in order that a whole region of a portion corresponding to thebackground among surfaces of a solid body indicated by thethree-dimensional data is exposed in at least one of the one or morebuffered captured images, the display control unit performs display forleading an image pickup posture of an image pickup unit configured tocapture a captured image that the image generation unit uses to generatean image.

(12) The information processing device according to any one of (9) to(11),

wherein the display control unit corrects a brightness value of thefirst surface image on the basis of a result of comparison between abrightness value near a position corresponding to an apex in thethree-dimensional data, the position being in the background exposed inthe buffered captured images, and a brightness value in a correspondingposition in a through image obtained by capturing an image of the realspace in real time.

(13) The information processing device according to any one of (3) to(12), further including:

an image pickup unit configured to capture a captured image that theimage generation unit uses to generate an image,

wherein the display control unit combines a captured image captured inreal time by the image pickup unit and an image generated by the imagegeneration unit, and displays the combined image.

(14) The information processing device according to any one of (3) to(13),

wherein the background recognized to be distinguished by the recognitionunit is excluded from targets to be used for generating the changeobjects with the change object generation unit.

(15) The information processing device according to any one of (1) to(14),

wherein the recognition unit extracts a floor surface from thethree-dimensional data and recognizes, as the object, a portionprotruded on the extracted floor surface and recognizes, as thebackground, a portion other than the object.

(16) The information processing device according to (15),

wherein the recognition unit extracts the floor surface on the basis ofa direction of gravity.

(17) The information processing device according to any one of (1) to(16),

wherein a change in the state includes breakage of the object.

(18) An information processing method, including:

recognizing, by a processor, an object included in a real space so as todistinguish the object from a background on the basis ofthree-dimensional data of the real space in order to generate a virtualobject image obtained by changing a state of the object.

(19) A program for causing a computer to function as:

a recognition unit configured to recognize an object included in a realspace so as to distinguish the object from a background on the basis ofthree-dimensional data of the real space in order to generate a virtualobject image obtained by changing a state of the object.

REFERENCE SIGNS LIST

-   1 smartphone-   2 image pickup unit-   3 posture information acquisition unit-   4 three-dimensional data acquisition unit-   5 control unit-   51 recognition unit-   52 change object generation unit-   53 image generation unit-   6 display control unit-   7 display unit-   10 telephone set-   11 packing tape-   12 helmet-   13 beverage can-   14 spray can

1. An information processing device, comprising: a recognition unitconfigured to recognize an object included in a real space so as todistinguish the object from a background on the basis ofthree-dimensional data of the real space in order to generate a virtualobject image obtained by changing a state of the object.
 2. Theinformation processing device according to claim 1, further comprising:an image generation unit configured to generate the object image of theobject recognized by the recognition unit.
 3. The information processingdevice according to claim 2, further comprising: a change objectgeneration unit configured to generate a virtual change object obtainedby changing the state of the object; and a display control unitconfigured to control a display unit so that the display unit displaysthe object image generated by the image generation unit on a surface ofthe change object.
 4. The information processing device according toclaim 3, wherein the image generation unit generates, on the basis of aportion corresponding to an exposed surface of the object in a capturedimage obtained by capturing an image of the real space, a second surfaceimage obtained by estimating a surface of the object hidden in thecaptured image, and wherein the display control unit displays the objectimage in which the second surface image is attached to a region of thechange object which is newly exposed due to the change.
 5. Theinformation processing device according to claim 3, wherein the displaycontrol unit displays the object image obtained by attaching an image ofa target object exposed in a through image obtained by capturing animage of the real space in real time to a corresponding region of thechange object.
 6. The information processing device according to claim3, wherein the display control unit displays the object image byestimating a position of a light source in the real space and correctingbrightness of the object image in accordance with the estimated positionof the light source.
 7. The information processing device according toclaim 3, wherein the display control unit displays the object imageobtained by attaching a first surface image to a portion that is in thebackground hidden by the object and is newly exposed due to a change inthe state of the object.
 8. The information processing device accordingto claim 7, wherein the image generation unit generates the firstsurface image by combining the backgrounds exposed in one or morecaptured images obtained by capturing images of the real space.
 9. Theinformation processing device according to claim 8, wherein, among thecaptured images obtained by capturing images of the real space, theimage generation unit preferentially buffers the captured image that hasa small overlapped portion in which the background is hidden by theobject and has been captured recently, and uses the buffered capturedimage to generate the first surface image.
 10. The informationprocessing device according to claim 9, wherein the image generationunit determines whether to buffer a captured image on the basis ofposture information indicating a position and an angle of an imagepickup unit that has captured the captured image and thethree-dimensional data.
 11. The information processing device accordingto claim 9, wherein, in order that a whole region of a portioncorresponding to the background among surfaces of a solid body indicatedby the three-dimensional data is exposed in at least one of the one ormore buffered captured images, the display control unit performs displayfor leading an image pickup posture of an image pickup unit configuredto capture a captured image that the image generation unit uses togenerate an image.
 12. The information processing device according toclaim 9, wherein the display control unit corrects a brightness value ofthe first surface image on the basis of a result of comparison between abrightness value near a position corresponding to an apex in thethree-dimensional data, the position being in the background exposed inthe buffered captured images, and a brightness value in a correspondingposition in a through image obtained by capturing an image of the realspace in real time.
 13. The information processing device according toclaim 3, further comprising: an image pickup unit configured to capturea captured image that the image generation unit uses to generate animage, wherein the display control unit combines a captured imagecaptured in real time by the image pickup unit and an image generated bythe image generation unit, and displays the combined image.
 14. Theinformation processing device according to claim 3, wherein thebackground recognized to be distinguished by the recognition unit isexcluded from targets to be used for generating the change objects withthe change object generation unit.
 15. The information processing deviceaccording to claim 1, wherein the recognition unit extracts a floorsurface from the three-dimensional data and recognizes, as the object, aportion protruded on the extracted floor surface and recognizes, as thebackground, a portion other than the object.
 16. The informationprocessing device according to claim 15, wherein the recognition unitextracts the floor surface on the basis of a direction of gravity. 17.The information processing device according to claim 1, wherein a changein the state includes breakage of the object.
 18. An informationprocessing method, comprising: recognizing, by a processor, an objectincluded in a real space so as to distinguish the object from abackground on the basis of three-dimensional data of the real space inorder to generate a virtual object image obtained by changing a state ofthe object.
 19. A program for causing a computer to function as: arecognition unit configured to recognize an object included in a realspace so as to distinguish the object from a background on the basis ofthree-dimensional data of the real space in order to generate a virtualobject image obtained by changing a state of the object.